Submodular Optimization Submodular Optimization

Submodular Optimization Submodular Optimization Information Guide

1. Background of Submodular Optimization Submodular Optimization
2. Important Facts
3. Recent Updates
4. Full Guide
5. Final Thoughts

Background of Submodular Optimization Submodular Optimization

Many problems in machine learning that involve discrete structures or subset selection may be phrased in the language of ... Machine Learning Work Shop - Session 2 - Jeff Bilmes - 'Why This videos from ICSI660 class in 12/03/2018. The professor is Feng Chen. He comes from University at Albany, State University ... The 32nd International Conference on Algorithmic Learning Theory (ALT 2021) Title: We consider the NP-hard problem of maximizing a monotone IJCAI 2020 Tutorial Presented by Rishabh Iyer and Ganesh Ramakrishnan. Tutorial Website: ...

Mahdi Soltanolkotabi, University of Southern California Fast ... הרצאתו של יוסי עזר בנושא "fast algorithms for

Important Facts

Recent Updates

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

Submodular Optimization

Submodular Optimization and Machine Learning - Part 1

Submodularity and Optimization -- Jeff Bilmes (Part 1)

Submodular Optimization for Minimizing Redundancy in Massive Data Sets | PyData Global 2021

5-1 Submodularity

Machine Learning Work Shop - Why Submodularity is Important to Machine Learning

Submodular Optimization 1

Submodular Combinatorial Information Measures with Applications in Machine Learning

Yuval Filmus: Monotone Submodular Optimization over a Matroid

IJCAI 2020 Tutorial Part I: Submodular Optimization for Data, Feature, and Topic Summarization.

Nonconvex Optimization for High-dimensional Learning: From ReLUs to Submodular Maximization

Full Guide

Data is compiled from public records and verified media reports.

Last Updated: June 8, 2026

Final Thoughts

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.